The results of this study provide further clinical evidence that patient-applied, patch-based PSG is a viable alternative to in-lab PSG, enabling broader access to gold-standard sleep testing.
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Polysomnography is considered the gold-standard overnight sleep exam that uses various sensors to record brain activity, ...
Morning Overview on MSN
Stanford AI spots disease warnings hiding in your sleep data
While most of us treat a sleep study as a one-night inconvenience, researchers are now turning that single session into a ...
Study Finds on MSN
Scientists Decode Sleep Patterns to Forecast Your Future Health Risks
AI system predicts risk for 130 diseases from one night's sleep with up to 85% accuracy. Sleep patterns show hidden health ...
A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...
Please provide your email address to receive an email when new articles are posted on . Electrocardiography data can be put into a neural network to score/determine sleep stages. With ...
Sleep studies, or polysomnography (PSG), are an important diagnostic tool used to identify sleep disorders such as sleep apnea, chronic insomnia, and narcolepsy. But anyone who’s undergone a sleep ...
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